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| Criterion |  Knowledge Modeling Domain Storytelling |  Decision Making Decision Tree |  Decision Making Decision Matrix |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 1-2 h | 30-90 min | 45-90 min | 30-90 min |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Decision Tree, Option Map, Assumption List | Decision Matrix, Scoring Rationale, Selected Option | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | DecisionTreeOptions | DecisionCriteriaScoringTradeoffs | ConstraintsDecisionPlanningOptions |